Difference value differential based lithium iron phosphate power battery power loading capacity dynamic prediction method

Abstract

The invention relates to a difference value differential based lithium iron phosphate power battery power loading capacity dynamic prediction method which mainly comprises the following steps: (1), performing measurement and acquisition of data including battery voltage difference value, current difference value, and temperature difference value, and establishing data dependency models in different active sections; (2), constructing data sheets, establishing a dynamic time-variable three quantities based algebraic interpolation function, analyzing an interpolation remainder, and analyzing the differential features of the interpolation remainder; and (3), analyzing the dependency, and revising each battery power loading capacity dynamic model factor in a battery pack. According to the difference value differential based lithium iron phosphate power battery power loading capacity dynamic prediction method, not only are the influences over the battery power loading capacity by the voltage, the current and the stability of a single power battery cell considered, but also influences over the power loading capacity when the batteries dynamically work by the voltage difference value, the current difference value and the temperature difference value of the power battery within a unit time and the autocorrelation and the cross correlation of the difference value variable quantity among the single battery cells of the battery pack are considered, and the discrete value differential analysis method is applied to accurately predict the power loading capacity when the single battery cells of the power battery pack work dynamically.

Description

technical field [0001] The present invention relates to a method for predicting the charge capacity when diagnosing the dynamic working state of a power lithium iron phosphate battery, in particular to a battery pack, through the voltage difference value, current difference value, temperature difference value, and time difference value of a single battery Based on the measurement and correlation analysis, the interpolation function model is established to accurately predict the state of charge of the dynamic single battery, so as to make decisions for further battery balancing control. Background technique [0002] Lithium iron phosphate battery refers to a lithium ion battery that uses lithium iron phosphate as the positive electrode material. There are many kinds of positive electrode materials for lithium ion batteries, mainly including lithium cobaltate, lithium manganate, lithium nickelate, ternary materials, lithium iron phosphate, etc. . Power lithium iron phosphate ...

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Problems solved by technology

[0003] At present, the prediction of the state of charge of the power lithium iron phosphate battery is only based on the direct collection of the voltage, current and temperature data of the single battery for state of charge analysis, and it is not possible to achieve accurate prediction of the state of charge of the single battery, so that it cannot Accurately and effectively realize real-time and dynamic scientific management of batteries

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